Innovation Management Model Research Articles

Integration of Blockchain Technology in Village Fund Management Based on Sharia Economics

This research aims to analyze the potential integration of blockchain technology in the management of village funds based on sharia economy to improve transparency, accountability, and compliance with sharia principles. The main issues raised are the lack of transparency in the allocation of village funds and the challenges of applying sharia principles in village financial management. The research method uses a qualitative approach with literature studies on the concepts of sharia economy, blockchain technology, and village fund management, as well as case analysis in two pilot villages that have implemented digital financial systems. The results show that blockchain is able to create a decentralized, immutable, and auditable transaction recording system in real time so that it meets sharia principles such as justice ('adl), transparency (openness), and the prohibition of usury. The discussion revealed that blockchain integration can reduce the risk of misuse of funds, facilitate community participation in monitoring, and strengthen trust in village institutions. However, the main challenges lie in the readiness of technological infrastructure, community digital literacy, and regulatory harmonization. The conclusion of the study states that blockchain integration in sharia-based village fund management is feasible to be implemented gradually with the support of training and collaboration between stakeholders. This research provides a practical contribution in the development of an innovative and sharia-compliant village fund management model.

INFLUENCE OF INFORMATION TECHNOLOGIES ON THE INNOVATIVE DEVELOPMENT OF LOGISTICS MANAGEMENT

The article determines that the innovative development of logistics management is a key condition for the successful reconstruction of the innovative management model in general. It is proposed to consider logistics management as a functionally oriented area of management and a toolkit of logistics in the management and optimization of flow processes in order to achieve maximum competitiveness of the enterprise. It is established that logistics management is aimed at achieving both tactical goals and strategic goals of enterprise development. An analysis of trends in the volume of the world logistics market was carried out and it was established that the specifics of the development of logistics management in Ukraine are determined by both temporary factors associated with the conditions of the military-economic crisis and the transitional nature of the Ukrainian economic system, and by constantly operating factors, such as the size and geographical location of the country; types, volumes, quality and accessibility of natural resources; the presence of intellectual potential and qualified labor resources; the size, specialization and distribution across the country of production complexes and centers; the level of integration into the world economic space. It is summarized that logistics management is carried out on the basis of general management principles taking into account the specifics of logistics activities and the role of the use of information technologies and modern modeling methods in the management of logistics systems is determined. It is noted that strong positions in domestic and global logistics competition can be obtained not simply through the use of existing innovative management and monitoring tools, but, above all, through the timely identification of potential opportunities for acquiring long-term advantages. An analysis of key innovation trends in the use of information technologies in 2023 in the field of logistics process management and their impact on the innovative development of logistics management was carried out. It was established that improving the management technologies of systemic transformations of logistics innovations under the influence of information technologies is important for: eliminating risks, reducing threats, increasing efficiency and harmonizing business processes.

Innovative Financial Management Models and Risk Mitigation Strategies for Newly Established Hospitals in Malaysia

In recent years, the Malaysian healthcare sector has witnessed rapid expansion with the establishment of new hospitals that face an increasingly complex financial environment. This study examines the need for innovative financial management models and robust risk mitigation strategies to ensure financial sustainability and operational efficiency in newly established hospitals. A comprehensive review of existing literature on healthcare finance, coupled with a qualitative analysis of contemporary financial challenges in the Malaysian context, forms the backbone of this research. The study proposes an integrated framework that combines strategic financial planning, modern information systems, performance measurement tools such as the Balanced Scorecard, advanced budgeting techniques, and proactive risk identification and control measures. By synthesizing theoretical insights with emerging practices from both global and local healthcare management, the proposed model aims to address issues such as cash flow instability, cost overruns, revenue uncertainties, and regulatory compliance risks. The findings suggest that embracing innovative financial management and risk mitigation is critical not only to secure financial stability but also to foster long-term strategic growth in the competitive Malaysian healthcare market. Implications for policy-makers and hospital administrators are discussed, alongside recommendations for further empirical research and practical implementation.

THE MANAGEMENT OF INNOVATIVE DEVELOPMENT IN BUSINESS ENTITIES: THE FORMATION OF A BALANCED SECURITY MECHANISM

The article addresses the challenges associated with the management of innovative development in business entities within the contemporary economic, technological, and security landscape. It is demonstrated that the integration of innovation potential with security mechanisms is a critical factor in ensuring the competitiveness and sustainability of business entities. The theoretical foundations of innovative development are examined, with a particular emphasis on the significance of innovation as a catalyst for economic growth. The role of security mechanisms in minimizing risks and safeguarding business entity resources is also highlighted. The article goes on to define the main components of the security mechanism, which are as follows: legal, organizational, economic, and technological elements. These elements form a single integrated system for protecting innovation processes. The author's analysis yielded a proposed conceptual framework for a balanced security mechanism, which aims to ensure a harmonious integration of innovative development and security measures. The proposed framework is substantiated by approaches to integrating innovation and security management, including the introduction of adaptive models for responding to external threats, modern digital technologies, and forecasting tools. The proposed scheme of the integration mechanism, which includes analytical, strategic, organizational, technological, financial, and monitoring blocks, provides a systematic approach to the management of a business entity. The potential for additional research is associated with the development of sectoral models for integrating innovation and security, the adaptation of international experience to national conditions, and the evaluation of the effectiveness of the proposed mechanism in the operations of business entities. The study's findings possess theoretical and practical value in the development of sustainable models of innovation management under conditions of uncertainty and risk

Urban flood hazard assessment using FLA-optimized boost algorithms in Ankara, Türkiye

This study presents a comprehensive analysis of flood hazard mapping in Ankara, the capital of Türkiye, highlighting the critical vulnerability of this major urban center to climate-related disasters. By applying advanced boosting algorithms—specifically, XGBoost, GradientBoost, and CatBoost—along with hyperparameter optimization through the Fick’s law algorithm (FLA), this research introduces an innovative methodology aimed at improving the reliability and accuracy of flood hazard assessments in Ankara’s urban landscape. The analysis utilizes an extensive dataset that integrates topographic, meteorological, hydrological, and anthropogenic variables to provide critical insights into the dynamics of urban flooding with a focus on Ankara’s vulnerability. This approach is novel in that it incorporates FLA for hyperparameter optimization, marking a significant advancement in flood hazard modeling and achieving higher model accuracy and generalizability. Notably, among the various determinants of flood hazard identified, elevation emerges as the most influential factor affecting flood risk in Ankara. This finding underscores the complex relationship between urban geography and flood hazards, and highlights the need for targeted urban planning and infrastructure development strategies to effectively mitigate flood risk. The implications of this research extend beyond the local setting, contributing valuable insights to the global discourse on climate change adaptation and urban resilience. By combining cutting-edge machine learning techniques with in-depth geographic analysis, this study offers a scalable and innovative model for flood hazard assessment and management, providing a critical tool for cities around the world facing similar challenges.

Smallholder farmers can achieve more sustainable wheat production through Consolidating Land for Uniform Practice.

Land fragmentation of smallholder agriculture significantly constrains the adoption rate of optimal management practices and sustainable crop production. We developed and implemented an innovative management model known as Consolidating Land for Uniform Practice (CLUP), which aimed to foster multi-actor collaboration and facilitate the large-scale application of optimal practices without altering land ownership. CLUP was implemented in wheat fields in the North China Plain for three consecutive years. Compared to conventional farmers' practices (FP), the CLUP approach improved wheat yield by 14%, nitrogen recovery efficiency by 35%, net ecosystem economic benefit by 86%, and agricultural labor productivity by 53%. Additionally, greenhouse gas (GHG) emissions per hectare and per ton of grain were reduced by 18% and 32%, respectively. Although the wheat yield and environmental performance of CLUP were not as good as that of scientist-led optimal practices (SP), its agricultural labor productivity was 60% higher, and its economic cost was 10% lower than SP. The CLUP model facilitates a transformative partnership by integrating the cutting-edge knowledge from universities, policy support from governments, and machinery services from enterprises, while emphasizing the participation of smallholder farmers. Overall, this study provides empirical evidence for optimizing agricultural practices and land management strategies, offering practical solutions for smallholder-dominated areas in the Global South.

Artificial Intelligence Empowering Robo-Advisors: A Data-Driven Wealth Management Model Analysis

In the digital age, the rapid development of financial technology has brought new opportunities to wealth management, especially with the emergence of robo-advisors as an innovative wealth management model that is increasingly favored by investors. The application of artificial intelligence (AI) in robo-advisors has transformed the traditional wealth management model, making it more intelligent, personalized, and automated. This paper aims to explore how artificial intelligence empowers robo-advisors and analyze the data-driven wealth management model. First, the definition and development history of robo-advisors demonstrate their evolution in the financial market. Robo-advisors, by providing low-cost and fully automated investment services, break down the high barriers of traditional wealth management, offering more investors the opportunity to participate in capital markets. Compared to traditional wealth management, robo-advisors integrate various data sources and use AI technologies to provide personalized investment advice and asset allocation plans to investors. In terms of the core technologies of artificial intelligence, machine learning and deep learning are the key drivers of robo-advisors. By applying deep learning models (such as LSTM), robo-advisors can effectively capture long-term dependencies in market fluctuations, significantly improving prediction accuracy. At the same time, natural language processing (NLP) technology is used to analyze market news and social media sentiment, providing users with a more comprehensive market analysis. Furthermore, the application of reinforcement learning enables robo-advisors to dynamically adjust investment strategies, adapting to market changes. The data-driven wealth management model emphasizes the importance of big data in robo-advisors. Robo-advisors integrate market data, user data, and social media data to identify potential investment opportunities and perform multi-dimensional analysis. In addition, the introduction of quantitative investment models optimizes traditional investment strategies, enhancing overall investment returns. AI technology also plays a crucial role in risk management by improving investment security through dynamic risk management strategies and market volatility predictions. Despite the many advantages of AI-powered robo-advisors, there are still several challenges. Data quality issues, insufficient model interpretability, and regulatory and compliance challenges in fintech require attention. Financial market data often contains high noise and non-stationarity, which can affect model training and prediction accuracy. Moreover, deep learning models, often regarded as "black boxes," lack transparency in their decision-making processes, making it difficult for financial professionals to understand and trust the models. Therefore, future research needs to focus on improving data quality, addressing overfitting issues, and enhancing model interpretability to ensure AI technologies can better serve financial decision-making. Looking to the future, AI will play an even greater role in the field of robo-advisors. The application of generative AI technologies (such as GPT and BERT) in financial text analysis and market forecasting holds great promise, helping investors better understand market dynamics. At the same time, the integration of quantum computing and AI is expected to enhance financial computing power, particularly in solving complex asset allocation problems. Additionally, the combination of multi-agent reinforcement learning (MARL) and blockchain technology will provide new directions for the development of robo-advisors, improving market modeling capabilities and the security of financial transactions. In conclusion, artificial intelligence is driving the transformation of wealth management models through robo-advisors. By using data-driven analysis and decision-making, robo-advisors can offer investors more accurate investment advice and risk management strategies. Although challenges remain, with continuous technological progress, robo-advisors will play an increasingly important role in the future of the financial market, driving the intelligent and automated development of wealth management.

Bridging gap in the treatment of Alzheimer's disease via postbiotics: Current practices and future prospects.

Bridging gap in the treatment of Alzheimer's disease via postbiotics: Current practices and future prospects.

Selected Aspects of Collaboration Among Polish Enterprises in Terms of Innovation Activity

Abstract This study examines the prevalence and dynamics of innovation-related collaboration among Polish industrial and service enterprises. Despite the well-documented benefits of collaboration in fostering innovation, empirical data indicate that such collaboration remains relatively uncommon and inconsistent across different Polish business sectors. Using a combination of critical literature analysis, statistical evaluation, and comparative methods, this study identifies key trends in enterprise innovation activity and assesses the role of managerial decision-making in shaping cooperative initiatives. The findings suggest that innovation-related collaboration is often incidental rather than strategically managed, with a significant gap between theoretical models of innovation management and their practical implementation. Large enterprises are more likely to engage in cooperative innovation, whereas small and medium-sized enterprises demonstrate lower participation rates. Furthermore, collaboration primarily occurs with domestic partners, with limited engagement in international networks. The study underscores the need for a more structured approach to innovation management, including enhanced knowledge integration, increased managerial awareness of cooperation benefits, and the development of policies that incentivize strategic partnerships. Addressing these challenges could improve Poland’s innovation ecosystem, aligning it more closely with international best practices.

Exploring Financial Management Innovations in the Meta-Cosmos Industry

In recent years, the metaverse's rapid development has significantly impacted the financial management practices within various sectors, necessitating a reevaluation of traditional approaches. This paper specifically examines innovative financial management models adapted for the metaverse industry, underscoring the importance of adaptability in a virtual and decentralized economic context. We critically analyze the limitations of current financial management frameworks in addressing the unique challenges of the metaverse, such as digital asset valuation, cryptocurrency transactions, and evolving regulatory environments.By dissecting case studies of pioneering companies that have effectively integrated innovative financial strategies within the metaverse, we elucidate best practices and strategic methodologies for optimizing financial performance. Moreover, we propose a conceptual model that synergizes blockchain technology, artificial intelligence, and big data analytics to bolster financial decision-making processes. This model is designed to enhance transparency and security in financial transactions while offering real-time insights and predictive analytics, thereby facilitating improved resource allocation and risk management.We further discuss the broader implications of these innovations for stakeholders, including investors, regulators, and consumers, as they navigate the dynamic metaverse economy. Our findings underscore the imperative of adopting innovative financial management practices for the sustainable growth of the metaverse industry, contributing to its long-term viability and resilience.

Sustainable Innovation Management Model (MGI) for Plantain Agroindustrial Chain

This study proposes a sustainable Innovation Management Model (MGI) for the plantain agroindustrial chain, applied to the Quindío region of Colombia. A mixed-methods approach was employed, incorporating various techniques, including a systematic literature review using the Scopus database, which analyzed 95 documents through the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. The identification and prioritization of relevant variables, along with the validation of the proposed model, were also conducted through the use of three questionnaires, supplemented by relevance and congruence indices. The analysis identified 53 variables for the entry stage, 36 for the transformation stage, and 31 for the exit stage. The findings revealed significant gaps within the agroindustrial chain, particularly in areas such as leadership, strategic management, and resilience among key stakeholders. The MGI, as prioritized by stakeholders, provides a framework that integrates variables and information flows, facilitating the development of new open innovation challenges. These challenges engage not only seekers—entities that require innovation—but also solvers—organizations that offer solutions. The implementation of this model will require supportive public policies, projects, and web platforms, such as Innocentive/Wazoku, Ninesigma, Ruta N, Yet2.com, Itonics, and Ennomotive, which, with the aid of artificial intelligence, can connect innovation supply and demand through open challenges.

Management Model for the Administration And Sustainability of a Community Garden in Mexican Southeastern

Objective: The objective of this study is to design a management model for the administration and sustainability of a community garden in Southeastern Mexico, focusing on strengthening local capacities, ensuring equitable resource distribution, and promoting food security and environmental sustainability. Theoretical Framework: The study draws on concepts of social and solidarity economy, food security, sustainable development, and agroecology. These frameworks provide a comprehensive understanding of the challenges and opportunities for rural communities in managing resources sustainably. Method: The methodology includes a mixed-methods approach with qualitative and quantitative components. Data were collected through focus groups, field visits, and semi-structured interviews with community members and stakeholders. The study integrates participatory planning to co-design strategies aligned with local needs. Results and Discussion: Results highlight the community's commitment to adopting sustainable practices and the feasibility of implementing a community garden model. Challenges such as resource limitations and climatic risks were identified, and potential solutions, including agroecological practices and capacity-building initiatives, were discussed. The management model emphasizes collaborative governance and continuous monitoring to ensure long-term success. Research Implications: This research provides a replicable framework for other rural communities to enhance food security and local economies. The findings offer practical insights for policymakers and organizations aiming to support sustainable development initiatives. Originality/Value: This study contributes to the literature by presenting an innovative management model that integrates social, economic, and environmental dimensions. Its originality lies in its participatory approach and adaptability to diverse rural contexts, making it a valuable tool for advancing sustainability.

The Application and Development of the Human Resources Shared Services Center Model

In the field of human resource management, the Shared Services Center (SSC) model, as an innovative management approach, has gradually been widely adopted by enterprises. With the continuous advancement of globalization and digitalization, businesses have raised higher demands for the efficiency, cost control, and service quality of human resources. The human resource shared services center model helps enterprises optimize management costs and improve employee experience through the integration of resources, standardized processes, and enhanced service efficiency. This paper explores the definition, characteristics, theoretical foundation, and practical value of the human resources shared services center model, and provides an in-depth analysis of the intelligent development trends exhibited by the model in the digital transformation process of enterprises. Finally, through an outlook on the future development direction of the shared services center model, the paper offers strategic references for enterprises in management model innovation and transformation upgrades.

PENDEKATAN INOVATIF DALAM MENINGKATKAN MANAJEMEN MUTU BERBASIS SEKOLAH

The main objective of this research is to analyze and evaluate the innovative approaches applied in improving school-based quality management at SMPN 1 VII Koto Sungai Sariak. This research uses a qualitative approach with a case study method to explore in depth the application of innovative approaches in improving school-based quality management at SMPN 1 VII Koto Sungai Sariak. The case study was chosen to contextually understand the specific dynamics that occur in this school, focusing on innovative management practices. The results of this study show that SMPN 1 VII Koto Sungai Sariak implements an innovative and adaptive school-based quality management model by involving all stakeholders in decision-making. Although the use of technology in learning provides benefits, challenges such as limited infrastructure and teacher skills still exist. The principal's visionary leadership and community support are supporting factors while resistance to change and limited resources are barriers. The school creates a conducive educational environment through transparency and teacher training, but for sustainability, more investment in technology infrastructure and collaboration with external parties is needed.

A Model of International Education Program Management: A Case Study of Sino Thai Project in Yunnan Province, China

This study aimed to develop an innovative project management model for international education collaborations, focusing on the Sino-Thai partnership in Yunnan Province, China, which faces challenges such as cultural differences, communication barriers, and administrative discrepancies. Using a mixed-methods approach, the research integrated quantitative data from questionnaires and qualitative insights from expert focus group discussions to ensure comprehensive analysis. The proposed model comprises four key components: 1) Inputs: Institutional potentials, staff quality, educational facilities, and expenses; 2) Processes: Needs assessment, communication and collaboration, monitoring and controlling, and project review; 3) Outputs: Effective project operations, collaborative staff efforts, and project success, and 4) Feedback: A dynamic mechanism linking project outcomes to inputs for continuous improvement. The evaluation demonstrated that the model reduced communication challenges by 62% and increased stakeholder satisfaction to an average of 4.2 out of 5. Expert evaluations highlighted its practicality, with an average score of 4.5 out of 5 for suitability and utility. Unlike traditional frameworks, the model incorporates a flexible feedback loop that addresses cultural and administrative disparities, ensuring adaptability to diverse educational contexts. These findings underscore the model’s potential to enhance the efficiency and sustainability of cross-cultural educational partnerships. By bridging gaps between cultural and administrative systems, this research contributes to innovative educational practices and aligns with global efforts to foster collaborative learning environments.

Knowledge and innovation management model in the mezcal industry in Mexico.

Knowledge and innovation management model in the mezcal industry in Mexico.

Public Services With Information Technologies in the Strategic Digital City Context: Curitiba, Brazil

Objectives: The research objective is to analyze the public services with information technology in the strategic digital city context. Theoretical Framework: Concepts based on the themes: strategic digital city; public services with information technology; and conceptual relationships. Method: The research methodology included a case study in the city of Curitiba, considering the research protocol with 1 construct and 3 variables. Results and Discussion: The results show that the city of Curitiba has 25 services with information technology, in which 20% were associated with thematic construction, 16% with thematic health, 12% with thematic municipal and urban services, 8% with thematic mobility and transit, and 4% with thematic trade, communication, education, sports, security and work. The conclusion highlights that a strategic digital city project, as an innovative urban management model, can assist in the planning of strategies, the design of public services and the integration of information technology resources, considering the participation of citizens, which corroborates for more adequate and sustainable urban management in cities. Research Implications: Contemporary cities, in addition to being considered physical spaces, require digital infrastructure for functioning, through the use of information technology resources, considering the social and environmental approaches. Originality/Value: The concept and model of strategic digital city projects are original and of adequate value to the citizens quality of life.

Optimizing multi-cloud architecture by employing an innovative workflow management model

Optimizing multi-cloud architecture by employing an innovative workflow management model

Research on the Innovation Strategy of Management Models in Entrepreneurial Technology Enterprises

With the continuous advancement of global technological innovation, entrepreneurial technology enterprises have become increasingly important in the modern economy. Management model innovation has become one of the key factors for these enterprises to maintain competitive advantages and promote sustainable growth. This paper aims to explore how entrepreneurial technology enterprises can enhance their core competitiveness through management model innovation in a rapidly developing environment. By analyzing the characteristics and challenges faced by entrepreneurial technology enterprises, the paper further elaborates on the theoretical foundations of management model innovation, focusing on the paths and practices related to organizational structure, leadership and decision-making mechanisms, talent management, and corporate culture innovation. By combining practical case studies, this paper summarizes both successful and unsuccessful experiences and proposes strategies for implementing innovative management models and risk mitigation measures. The research findings indicate that innovative management models not only help enterprises adapt to changes in the external environment but also improve internal operational efficiency and team cohesion, providing strong support for the sustainable development of entrepreneurial technology enterprises.

Battery Waste Management in Realizing Sustainable Development in the Digital Era

This study explores the innovative, relevant, and adaptive policy model for battery waste management in Indonesia, addressing the unique challenges posed by the digital era. The proposed model integrates advanced technological solutions and sustainable practices tailored to the Indonesian context, ensuring its applicability and effectiveness. By analyzing current waste management practices and identifying gaps, this research highlights the necessity for a comprehensive framework that not only complies with international standards but also resonates with local socio-economic conditions. The implications of this research are significant for both academic and industry practitioners. For academics, it provides a foundational understanding of sustainable waste management practices, fostering further research in this critical area. For practitioners, particularly policymakers and industry players, the model offers actionable insights that can lead to improved regulatory frameworks and operational efficiencies, ultimately contributing to enhanced environmental sustainability and economic growth in Indonesia.